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By: Martin Badinelli
Table of content
Artificial intelligence is shaking up cybersecurity, but maybe not in the way you think. It hasn’t reinvented cybercrime. It’s just made it easier, cheaper, and faster for bad actors to pull off convincing attacks. And that’s a big deal.
Let’s break down how AI is impacting both sides of the cybersecurity battle and what businesses can do to keep up.
Ten years ago, phishing emails were easy to spot. Bad grammar, weird formatting, and broken English were common giveaways. But now? AI tools can write polished emails that sound like they came from someone inside your company. They can even mimic your internal communication style if given the right examples.
Voice cloning tools can take a short audio clip, like something from a podcast or YouTube video, and create a pretty convincing version of someone’s voice. That means a scammer could pretend to be your CEO and leave a voicemail asking your CFO to wire money. It sounds wild, but it’s already happening.
These aren’t elite hackers doing this. They’re often low-skill attackers using AI-generated instructions and tools they found online. It doesn’t take a ton of technical know-how, just a bit of curiosity and a credit card.
The real shift is scale. With AI, more people can run scams, and they can do it faster. Even if each attack isn’t super sophisticated, the sheer volume of them is overwhelming. That means security teams are under more pressure to catch threats before they do real damage.
Here’s the good news. You don’t need to completely rethink your cybersecurity strategy to deal with this. What you do need is to get really good at the fundamentals:
AI may be changing the way attacks happen, but these kinds of defenses still work, especially when they’re followed consistently.
Yes, attackers are using AI, but defenders are too. Most modern cybersecurity tools already have AI or machine learning built in. They help detect patterns and anomalies that older tools would miss.
For example, if someone normally logs in at 8 a.m. from New York but suddenly logs in at 3 a.m. from another country, that’s flagged. Or if they usually download a few files a week but suddenly pull everything from your file server, that’s a red flag too.
These tools don’t just compare code or signatures anymore. They look at behavior; what’s normal for each user and alert you when something feels off.
Some tools are starting to take action automatically too. If a device is compromised or credentials are being misused, certain platforms can lock it down instantly without needing a human to step in.
That said, there’s still a big need for human judgment. Automation is great for quick responses to obvious threats, but gray areas still need a real person’s call. The best setups are the ones where AI handles the repetitive stuff, and your team handles the nuance.
AI isn’t creating brand new cybersecurity problems. It’s just making the old ones harder to spot and faster to launch. That means defenders have to level up, not by chasing every new tool on the market, but by building a strategy that combines smart policies with AI-powered support.
If your security strategy is solid and your people are trained, AI becomes a powerful ally instead of a threat.
AI improves threat detection by identifying behavioral anomalies that traditional tools might miss. For example, if a user suddenly accesses data at an unusual time or from a different location, AI can flag this as suspicious activity.
AI can help prevent phishing attacks by scanning for suspicious content, checking sender reputation, and analyzing patterns in communication. However, user awareness and strong verification processes are still critical to stop well-crafted phishing attempts.
Yes. Attackers are using AI to create realistic phishing emails, clone voices, mimic writing styles, and even automate steps in an attack chain. The barrier to entry for launching a cyberattack has dropped significantly thanks to AI tools.
Businesses should focus on strengthening core cybersecurity processes, training high-risk users, and adopting AI-powered security tools that enhance detection and response. The key is not to chase trends, but to build a resilient security foundation.
Leading AI tools are often built into endpoint detection and response (EDR), extended detection and response (XDR), and Security Information and Event Management (SIEM) platforms. Popular solutions include those from vendors like CrowdStrike, SentinelOne, Microsoft Defender, and Palo Alto Networks.
Martin Badinelli is the Director of Security Advisory at Dataprise. A cybersecurity strategist and advocate for equity in tech, he brings deep experience across vCISO services, GRC, and cloud security. Connect with me on LinkedIn.
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